Departamento de Didáctica de las Ciencias
URI permanente para esta comunidadhttps://hdl.handle.net/10953/26
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Examinando Departamento de Didáctica de las Ciencias por Autor "Bonofiglio, Tommaso"
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Ítem Airborne-pollen maps for olive-growing areas throughout the Mediterranean region: spatio-temporal interpretation(Springer, 2015) Aguilera-Padilla, Fátima; Ben-Dhiab, Alí; Msallem, Monji; Orlandi, Fabio; Bonofiglio, Tommaso; Ruiz-Valenzuela, Luis; Galán-Soldevilla, Carmen; Díaz-de la Guardia, Consuelo; Giannelli, Angelo; Trigo, María del Mar; García-Mozo, Herminia; Perez-Badia, Rosa; Fornaciari, MarcoThe aim of this study was the elaboration and the spatio-temporal interpretation of Olea europaea L. airborne-pollen maps across the main olive cultivation areas within the Mediterranean basin (i.e. Tunisia, Spain, Italy). The study was performed using aerobiological databases recorded from 27 georeferenced study sites. Maps were elaborated for different 10-day period through spring and summer: 1, 10, 20, 30 April; 10, 20, 30 May; 9, 19, 30 June; and 10 July. Average pollen counts in each study site were considered for the 13-year period from 1999 to 2011. Both these 10-day period of pollen emission data and the geographical coordinates were used as variables in the elaboration of the 10-day period maps. The ‘Natural Neighbour’ interpolation method was used. The statistical relationship between spatial location and maximum pollen emission was studied using linear regression and cluster analyses. The airborne-pollen maps show a spatio-temporal pattern in the pollen season. The maximum pollen emission is progressively delayed with northward changes in latitude, and the classification of the Olea maximum pollen emission date into four latitudinal categories is defined. The maximum Olea pollen concentrations were mainly recorded around 20 May. Early flowering in Tunisia coastal zones can indicate the onset of the olive pollen release season in the occidental Mediterranean region, while the central olive-growing areas in Italy can indicate the end of the olive pollen release season. These maps give information of the major risk days to the people who are allergic to olive pollen.Ítem Better prediction of Mediterranean olive production using pollen-based models(Springer France, 2014) Oteros-Moreno, José Antonio; Orlandi, Fabio; García-Mozo, Herminia; Aguilera-Padilla, Fátima; Ben-Dhiab, Alí; Bonofiglio, Tommaso; Abichou, Mounir; Ruiz-Valenzuela, Luis; Trigo, María del Mar; Díaz de la Guardia, Consuelo; Domínguez-Vilches, Eugenio; Msallem, Monji; Fornaciari, Marco; Galán-Soldevilla, CarmenOlive oil is a major economic resource of the Mediterranean region. Olive crop management can be improved by models that forecast the variable reproductive biology of olive tree. However, the processes controlling olive harvest are complex on large scales. Here, we study the parameters that influence olive fruit production for developing accurate forecasting models. Seventeen aerobiological sampling points have monitored olive pollen grains in Spain, Italy and Tunisia from 1993 to 2012. Six crop models have been developed at two provinces and country scales. The modelling has been done in two steps: (1) typification and (2) modelling by partial least square regression. Results show that higher pollen indexes and water availability during spring are related to an increase of final fruit production in all the studied area. Higher pollen indexes are also positively correlated with air temperature during early spring and autumn. Furthermore, a decrease of fruit production is related with increasing air temperature during winter and summer. To conclude, we have designed accurate models that allow accurate predictions of olive production.